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Record W3088943958 · doi:10.1177/0959680120951705

Unions and the green transition in construction in Europe: Contrasting visions

2020· article· en· W3088943958 on OpenAlex
Linda Clarke, M. Sahin-Dikmen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEuropean Journal of Industrial Relations · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
FundersYork University
KeywordsDirectiveVisionAcknowledgementEuropean unionVocational educationModernization theoryGreen growthEfficient energy useBusinessBrexitSocial dialogueEconomic systemPolitical scienceEconomicsEconomic growthLabour economicsEconomic policySociologySustainable developmentEngineering

Abstract

fetched live from OpenAlex

The construction industry, responsible for 40 percent of European Union (EU) end-use emissions, is targeted as a major area of transformation particularly through the Energy Performance of Buildings Directive requiring nearly zero energy building (NZEB). Through a case study approach, union responses to EU strategy on the implementation of energy efficiency standards are evaluated in Denmark, Germany, Italy and UK (Scotland), presenting a varied picture, from minimal acknowledgement to broad support along the lines of ecological modernization to radical transformation. Radical appraisals of the industry and its exploitative and high-carbon practices are rare, though engaging with the employment and vocational education and training (VET) implications. The article presents a labour-centred alternative to a technical-driven transition agenda, focusing on how the labour process needs to change in a sector dominated by small firms, self-employment, a fragmented labour process and often low levels of VET.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.745
Threshold uncertainty score0.245

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.261
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it